We’re gonna look at NYC Airbnb data.
library(tidyverse)
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library(p8105.datasets)
library(plotly)
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## layout
data("nyc_airbnb")
nyc_airbnb =
nyc_airbnb %>%
mutate(rating = review_scores_location / 2) %>%
select(neighbourhood_group, neighbourhood, rating, price, room_type, lat, long) %>%
filter(
neighbourhood_group == "Manhattan",
price %in% 100:500,
room_type == "Entire home/apt"
) %>%
drop_na(rating)
nyc_airbnb %>%
plot_ly(x= ~lat, y = ~long, color = ~price, alpha = .5,
type = "scatter", mode = "markers")
nyc_airbnb %>%
plot_ly(x= ~lat, y = ~long, color = ~price, text = ~rating, alpha = .5,
type = "scatter", mode = "markers")
nyc_airbnb %>%
mutate(text_label = str_c("Price : $", price, "\nRating:", rating)) %>%
plot_ly(x= ~lat, y = ~long, color = ~price, text = ~rating, alpha = .5,
type = "scatter", mode = "markers")
nyc_airbnb %>%
plot_ly(y = ~price, x = ~neighbourhood, color = ~neighbourhood,
type = "box")
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
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nyc_airbnb %>%
mutate(neighbourhood = fct_reorder(neighbourhood, price))%>%
plot_ly(y = ~price, x = ~neighbourhood, color = ~neighbourhood,
type = "box")
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
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nyc_airbnb %>%
count(neighbourhood) %>%
mutate(neighbourhood = fct_reorder(neighbourhood, n))%>%
plot_ly(x = ~neighbourhood, y = ~n, color = ~neighbourhood, type = "bar", colors ="viridis")